Understanding the Mechanisms of Brainwave Modulation in BCI Neurofeedback for Stress Reduction

This paper investigates the Brain-Computer Interface(BCI) neurofeedback in modulating brainwave activity for reducing stress. Chronic stress poses an important public health issue for the mental and physical health of an individual, yet its management through conventional means has met with mixed results. Neurofeedback offers such a promising solution that the mechanism by which resultant stress is alleviated is still being explored. This research is geared at answering this question by investigating the use of BCI neurofeedback modulation of specific brainwave frequencies in the reduction of stress state. With the help of BCI neurofeedback training, the participants learned to increase their alpha and theta wave activity and decrease beta wave activity. EEG data were recorded throughout the sessions, and the stress state of the participants was determined via physiological markers of heart rate variability and selfreported questionnaires. The results showed a significant decrease of stress levels correlating with increase alpha and theta activity alongside decrease beta waves. Such findings suggest that BCI neurofeedback may also provide a way of modulating brainwave activity for eliciting stress relief, and so have great potential as a range of noninvasive techniques tailored for stress management. This study suggests that BCI neurofeedback may truly be an innovative ascension in the field of mental health wellness and the treatment of the stress-mode disorder.

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Publication Details

Published
2025-04-17
DOI
https://doi.org/10.1109/icdsbs63635.2025.11031583
Citations
1
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
1.43
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article

Understanding the Mechanisms of Brainwave Modulation in BCI Neurofeedback for Stress Reduction

Umamageswaran Jambulingam, M. Prabu, Surya Narayanan, S. Sivakumar
1 citations
EEG and Brain-Computer Interfaces
1.43
article

Understanding the Mechanisms of Brainwave Modulation in BCI Neurofeedback for Stress Reduction

Umamageswaran Jambulingam, M. Prabu, Surya Narayanan, S. Sivakumar
article en
1 citations

Abstract

This paper investigates the Brain-Computer Interface(BCI) neurofeedback in modulating brainwave activity for reducing stress. Chronic stress poses an important public health issue for the mental and physical health of an individual, yet its management through conventional means has met with mixed results. Neurofeedback offers such a promising solution that the mechanism by which resultant stress is alleviated is still being explored. This research is geared at answering this question by investigating the use of BCI neurofeedback modulation of specific brainwave frequencies in the reduction of stress state. With the help of BCI neurofeedback training, the participants learned to increase their alpha and theta wave activity and decrease beta wave activity. EEG data were recorded throughout the sessions, and the stress state of the participants was determined via physiological markers of heart rate variability and selfreported questionnaires. The results showed a significant decrease of stress levels correlating with increase alpha and theta activity alongside decrease beta waves. Such findings suggest that BCI neurofeedback may also provide a way of modulating brainwave activity for eliciting stress relief, and so have great potential as a range of noninvasive techniques tailored for stress management. This study suggests that BCI neurofeedback may truly be an innovative ascension in the field of mental health wellness and the treatment of the stress-mode disorder.

Amrita Vishwa Vidyapeetham (IN)
Zero hunger
Openalex Percentile: Top 18%
EEG and Brain-Computer Interfaces
1.43
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Understanding the Mechanisms of Brainwave Modulation in BCI Neurofeedback for Stress Reduction — Umamageswaran Jambulingam, M. Prabu, et al. · (2025) | TGRS Research Map | TGRS